Evidence map›Paper›PMID 37342044›Full record

ArticleJAMA network open2023

Using a Clinically Interpretable End Point Composed of Multiple Outcomes to Evaluate Totality of Treatment Effect in Comparative Oncology Studies.

Xiaofei Wang, Zachary R McCaw, Lu Tian, Thomas E Stinchcombe, Everett Vokes, Ethan B Ludmir, Lee-Jen Wei

Abstract readLetter
PubMed Full text at PMC Publisher
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Xiaofei WangDepartment of Biostatistics & Bioinformatics, Duke University Medical Center, Durham, North Carolina.
Zachary R McCawInsitro, South San Francisco, California.
Lu TianDepartment of Biomedical Data Science, Stanford University, Stanford, California.
Thomas E StinchcombeDuke Cancer Institute, Duke University Medical Center, Durham, North Carolina.
Everett VokesUniversity of Chicago Comprehensive Cancer Center, Chicago, Illinois.
Ethan B LudmirDepartment of Gastrointestinal Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston.
Lee-Jen WeiDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.

Funding

Statistical Methods for Optimizing Personalized Treatment SelectionR01HL089778 · NHLBI · STANFORD UNIVERSITY · PI LU TIAN · 2008 to 2026
$4.8M
Transforming Clinical Trials for Elderly and Rare Cancers through Intelligent and Robust Information BorrowingR01AG066883 · NIA · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Xiaofei Wang, Shu Yang · 2020 to 2026
$2.0M
NHLBI NIH HHS R01 HL089778NIA NIH HHS R01 AG066883
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Medical OncologyEndpoint DeterminationHumans

Identifiers

PMID37342044
PMCPMC10285578

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.